merged 2.4 into trunk
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@@ -134,17 +134,19 @@ template<typename VT> struct MixData
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};
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static void process8uC1( BackgroundSubtractorMOG& obj, const Mat& image, Mat& fgmask, double learningRate )
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static void process8uC1( const Mat& image, Mat& fgmask, double learningRate,
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Mat& bgmodel, int nmixtures, double backgroundRatio,
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double varThreshold, double noiseSigma )
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{
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int x, y, k, k1, rows = image.rows, cols = image.cols;
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float alpha = (float)learningRate, T = (float)obj.backgroundRatio, vT = (float)obj.varThreshold;
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int K = obj.nmixtures;
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MixData<float>* mptr = (MixData<float>*)obj.bgmodel.data;
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float alpha = (float)learningRate, T = (float)backgroundRatio, vT = (float)varThreshold;
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int K = nmixtures;
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MixData<float>* mptr = (MixData<float>*)bgmodel.data;
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const float w0 = (float)defaultInitialWeight;
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const float sk0 = (float)(w0/(defaultNoiseSigma*2));
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const float var0 = (float)(defaultNoiseSigma*defaultNoiseSigma*4);
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const float minVar = (float)(obj.noiseSigma*obj.noiseSigma);
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const float minVar = (float)(noiseSigma*noiseSigma);
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for( y = 0; y < rows; y++ )
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{
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@@ -259,17 +261,20 @@ static void process8uC1( BackgroundSubtractorMOG& obj, const Mat& image, Mat& fg
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}
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}
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static void process8uC3( BackgroundSubtractorMOG& obj, const Mat& image, Mat& fgmask, double learningRate )
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static void process8uC3( const Mat& image, Mat& fgmask, double learningRate,
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Mat& bgmodel, int nmixtures, double backgroundRatio,
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double varThreshold, double noiseSigma )
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{
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int x, y, k, k1, rows = image.rows, cols = image.cols;
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float alpha = (float)learningRate, T = (float)obj.backgroundRatio, vT = (float)obj.varThreshold;
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int K = obj.nmixtures;
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float alpha = (float)learningRate, T = (float)backgroundRatio, vT = (float)varThreshold;
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int K = nmixtures;
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const float w0 = (float)defaultInitialWeight;
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const float sk0 = (float)(w0/(defaultNoiseSigma*2*sqrt(3.)));
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const float var0 = (float)(defaultNoiseSigma*defaultNoiseSigma*4);
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const float minVar = (float)(obj.noiseSigma*obj.noiseSigma);
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MixData<Vec3f>* mptr = (MixData<Vec3f>*)obj.bgmodel.data;
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const float minVar = (float)(noiseSigma*noiseSigma);
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MixData<Vec3f>* mptr = (MixData<Vec3f>*)bgmodel.data;
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for( y = 0; y < rows; y++ )
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{
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@@ -403,9 +408,9 @@ void BackgroundSubtractorMOG::operator()(InputArray _image, OutputArray _fgmask,
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CV_Assert(learningRate >= 0);
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if( image.type() == CV_8UC1 )
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process8uC1( *this, image, fgmask, learningRate );
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process8uC1( image, fgmask, learningRate, bgmodel, nmixtures, backgroundRatio, varThreshold, noiseSigma );
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else if( image.type() == CV_8UC3 )
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process8uC3( *this, image, fgmask, learningRate );
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process8uC3( image, fgmask, learningRate, bgmodel, nmixtures, backgroundRatio, varThreshold, noiseSigma );
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else
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CV_Error( CV_StsUnsupportedFormat, "Only 1- and 3-channel 8-bit images are supported in BackgroundSubtractorMOG" );
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}
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File diff suppressed because it is too large
Load Diff
119
modules/video/src/video_init.cpp
Normal file
119
modules/video/src/video_init.cpp
Normal file
@@ -0,0 +1,119 @@
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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namespace cv
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{
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///////////////////////////////////////////////////////////////////////////////////////////////////////////
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static Algorithm* createMOG()
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{
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return new BackgroundSubtractorMOG;
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}
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static AlgorithmInfo& mog_info()
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{
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static AlgorithmInfo mog_info_var("BackgroundSubtractor.MOG", createMOG);
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return mog_info_var;
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}
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static AlgorithmInfo& mog_info_auto = mog_info();
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AlgorithmInfo* BackgroundSubtractorMOG::info() const
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{
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static volatile bool initialized = false;
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if( !initialized )
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{
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BackgroundSubtractorMOG obj;
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mog_info().addParam(obj, "history", obj.history);
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mog_info().addParam(obj, "nmixtures", obj.nmixtures);
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mog_info().addParam(obj, "backgroundRatio", obj.backgroundRatio);
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mog_info().addParam(obj, "noiseSigma", obj.noiseSigma);
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initialized = true;
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}
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return &mog_info();
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}
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///////////////////////////////////////////////////////////////////////////////////////////////////////////
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static Algorithm* createMOG2()
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{
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return new BackgroundSubtractorMOG2;
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}
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static AlgorithmInfo& mog2_info()
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{
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static AlgorithmInfo mog2_info_var("BackgroundSubtractor.MOG2", createMOG2);
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return mog2_info_var;
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}
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static AlgorithmInfo& mog2_info_auto = mog2_info();
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AlgorithmInfo* BackgroundSubtractorMOG2::info() const
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{
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static volatile bool initialized = false;
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if( !initialized )
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{
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BackgroundSubtractorMOG2 obj;
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mog2_info().addParam(obj, "history", obj.history);
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mog2_info().addParam(obj, "varThreshold", obj.varThreshold);
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mog2_info().addParam(obj, "detectShadows", obj.bShadowDetection);
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initialized = true;
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}
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return &mog2_info();
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}
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///////////////////////////////////////////////////////////////////////////////////////////////////////////
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bool initModule_video(void)
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{
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Ptr<Algorithm> mog = createMOG(), mog2 = createMOG2();
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return mog->info() != 0 && mog2->info() != 0;
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}
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}
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